Statistics in Medicine just published an article that my colleague Susan Ellenberg and I wrote comparing and contrasting the HIV-AIDS and SARS-CoV-2/COVID-19 pandemics, and overviewing the role of statisticians in the scientific efforts during these pandemics.
Dr. Ellenberg is my colleague in the Division of Biostatistics at the Perelman School of Medicine at the University of Pennsylvania, and has years of experience working with the National Institute of Allergy and Infectious Disease (NIAID), the national research institute leading both efforts and led by Dr. Fauci, working both in HIV-AIDS and also serving a prominent scientific role in SARS-CoV-2/COVID-19 efforts.
Here is a link to the main article, which is a featured article in the May 20, 2021 issue of Statistics in Medicine, along with discussions/commentaries by the following scientific experts:
Mitchell H. Gail, National Cancer Institute
Dean Follmann, National Institute for Allergy and Infectious Disease
Natalie Dean, Rollins School of Public Health, Emory University
Britta L. Jewell and Nicholas P. Jewell, London School of Hygiene and Tropical MedicineM. Elizabeth Halloran, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center
Valerie Isham, University College London
Ron Brookmeyer, UCLA Fielding School of Public Health
Victor De Gruttola, Ravi Goyal, Natasha K. Martin, T.H. Chan School of Public Health, Harvard University
Robert W. Platt, McGill University
Plus Dr. Ellenberg and I wrote a rejoinder responding to these commentaries.
Topics of the article include:
Modeling the outbreak
Counting cases, hospitalizations and deaths
Viral testing
Natural history of disease
Identifying risk factors and prognostic factors
Evaluation of treatments and vaccines
In response to the commentaries, we hit on several other topics in the rejoinder:
Shortfalls in our surveillance capabilities
Excess deaths analysis
Assessments of non-pharmaceutical interventions (NPI) including masks and distancing
Political divisiveness, inconsistent scientific communication, and the pandemic
Population-level validation of vaccine effectiveness and post-emergency-approval safety
Vaccine hesitancy
Importance of multidisciplinary team science in the pandemic
Asymptomatic spread and missing data
Important role of statisticians as scientific leaders and communicators
Challenges of accelerated science in the fast-moving pandemic setting